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Organizing Data for Beginners
Learn how to identify data use cases and prepare data that delivers on those use casesPreview the first lesson free — get full access to all 14 lessons.
Beginner Provider : Bernie Kuan 6 chapters · 14 Lessons · 1h 16m in Arabic, German, English, Spanish, French, Portuguese, Chinese
Course Description
Organizations are investing heavily in data analytics – and for good reason. The investment in data leads to increased revenue, more efficient use of resources, and reduction of business risks. But once collected, data is rarely immediately presentable for a business to use. Many steps need to be taken between data collection and when the data is organized into something that the business can act on. Organizing collected data is the most critical and perhaps most time-consuming step before data can be interpreted into something impactful for the business. The topics and concepts discussed in this course will provide a basic foundation for understanding the constantly changing data landscape.
In this Organizing Data for Beginners course, we’ll explore how to identify data use cases and prepare data that delivers on those use cases. When collected data needs to support many users and use cases, you need to ensure that data consumption occurs in a consistent, managed way to reduce the risks of negatively impacting the integrity or speed of data analysis. We’ll look at techniques for organizing data, and how organizations properly manage and store information to best support their users with accurate, high-quality data.
What You'll Learn
- Understand the various operational and analytical use cases for collected data
- Explore concepts and approaches for cleaning, transforming, and presenting data through scrubbing and wrangling
- Apply data manipulation, transformation, and visualization techniques to organize data
- Understand how an organization manages data to provide accurate, high-quality data to data consumers
- Compare how data is stored and accessed within an enterprise, including data warehouse vs. data lake and on-premise vs. cloud
Key Takeaways
- Organizing collected data is the most critical and often most time-consuming step before data can be interpreted into something impactful for the business.
- Investment in data analytics can lead to increased revenue, more efficient use of resources, and reduction of business risks.
- Data is rarely immediately presentable after collection, so many steps are needed between data collection and turning it into something the business can act on.
- When data must support many users and use cases, consumption should occur in a consistent, managed way to reduce risks to the integrity or speed of data analysis.
- How the data was collected and how it will be used both matter when preparing data to deliver on its intended use cases.
Frequently Asked Questions
Who is this course for?
This is a beginner course that provides a basic foundation for understanding the constantly changing data landscape, intended for those learning how to organize collected data.
What topics does the course cover?
It covers identifying data use cases, data preparation through scrubbing and wrangling, data manipulation and transformation, data visualization, semantic presentation, data modeling, data mastering, data formats for processing, data warehouse vs. data lake, and on-premise vs. cloud data.
What will I be able to do after taking this course?
You will understand various uses of collected data, explore approaches to cleaning, transforming, and presenting data, understand how organizations manage data for accuracy and quality, and understand how data is typically stored and accessed within an enterprise.
What skills does this course help build?
The course builds skills in data administration, data classification, data management, data management planning, data modeling, and data preprocessing.
Professional Certifications and Continuing Education Units (CEUs)
International Institute of Business Analysis (IIBA®)
Continuing Development Units (CDUs): 1.5
Society for Human Resource Management (SHRM®)
Professional Development Credits (PDCs): 1.5
KnowledgeCity is approved by SHRM as a Recertification General Provider to offer SHRM-CP or SHRM-SCP professional development credits (PDCs). By taking the courses approved by SHRM, KnowledgeCity can award SHRM Professional Development Credits (PDCs) for HR knowledge and competency programs related to the SHRM Body of Applied Skills and Knowledge™ (the SHRM BASK™).
